Top Machine Learning Jobs in Paris

As an Applied AI Consultant, you will develop and scale AI solutions for customers, working closely with teams and providing technical expertise. Responsibilities include designing tailored solutions, collaborating on product development, and training internal teams.

As a Senior AI Solution Architect, you will design, deploy, and scale AI solutions for customers, collaborate with teams, and innovate on the Celonis platform.

You will implement pilot projects, experiment with technologies, build partnerships, and drive innovation to evaluate opportunities in digital experiences.

As a Senior AI Deployment Architect, you'll design, deploy and scale AI solutions, collaborating closely with customers and internal teams while driving innovation and packaging scalable use cases.

The Strategic Sales Executive will sell Identity Governance Administration solutions to multinational organizations, engaging with senior decision-makers and navigating lengthy sales cycles.

The Account Executive will drive new business by selling SaaS solutions to Managed Service Providers in the Nordics, managing the full sales cycle, and achieving revenue targets.

As Product Manager II, you will innovate Synthetic Testing and Monitoring, enhancing user experiences and integrating AI technology to drive growth and customer success.

As a Senior Applied Scientist, you will design machine learning solutions, develop scalable features, and analyze data within the Datadog app, collaborating with engineering and product teams.

As an AI Researcher at Datadog, you'll conduct cutting-edge research in AI, focusing on foundation models and AI agents for observability and reliability, collaborating with cross-functional teams, and contributing to scientific publications.

Develop IDE experiences integrating Datadog with AI tools, focusing on backend engineering, LLMs, and user experience, while supporting development teams.

As an Applied Science Intern, you will design AI solutions, develop models, contribute to product improvement, and engage in research presentations with a focus on data and AI applications.

The Customer Success Engineer will act as a technical expert and advisor, ensuring customers adopt Deepgram's voice technologies effectively, manage customer relationships, conduct demos, and drive growth opportunities.

The Senior Director, Data Platforms and Engineering will lead the strategy and execution of Pfizer's data engineering and platform initiatives, overseeing teams to drive innovation in data management and analytics. The role involves collaboration with internal and external stakeholders, scaling robust platforms, and fostering a culture of technical excellence and continuous improvement.

Join Welo Data as part of a global community focusing on data annotation and enhancing AI models with diverse linguistic expertise.

The EMEA Sales Leader will drive the company's expansion in the region, establish sales pipelines, develop partnerships, and oversee the sales team.

As an AI Engineer at Inato, you will develop AI-driven solutions for clinical research, focusing on multimodal data processing and integrating AI into our platform with a cross-functional team.

The Strategic Director will lead product strategy for payer solutions, develop client-centric products, and enhance market access offerings, ensuring alignment with client needs and market trends.

Develop and manage systematic trading strategies, optimize quantitative portfolios, and collaborate with quant traders and the investment committee.

Support training and benchmarking of LLMs, prepare and evaluate training datasets, and assist the core research team at Pathway.

The role involves reinventing voice recognition technologies for real-world conversations, focusing on real-time speech processing techniques.

The role involves deploying AI products, managing customer relations, collaborating on complex projects, and ensuring successful product adoption. Requires deep knowledge of machine learning and experience with LLMs.

Lead global R&D data and computational science initiatives, driving innovation through AI and data strategies, fostering cross-functional collaboration, managing teams, and optimizing drug discovery processes.

The AI/ML Principal Engineer leads technical projects, supports product strategy, and manages complex engineering issues while mentoring staff and contributing to business strategies.

Lead the Data strategy, oversee a team of 40 data professionals, drive AI adoption, and collaborate across departments for data solutions.

The Quantum Application Scientist will develop hybrid quantum algorithms, collaborate with various teams, and engage in industry partnerships to apply quantum computing solutions.